There are several high bars to getting a new algorithm adopted.
* It needs to be deemed by the MLLib committers/shepherds as widely useful
to the community. Algorithms offered by larger companies after having
demonstrated usefulness at scale for use cases likely to be encountered
by many
Hi,
After searching the machine learning library for streaming algorithms, I
found two that fit the criteria: Streaming Linear Regression
(https://spark.apache.org/docs/latest/mllib-linear-methods.html#streaming-linear-regression)
and Streaming K-Means
